Triple

T3997899
Position Surface form Disambiguated ID Type / Status
Subject LGV Nord E87141 entity
Predicate nearTerminus P350 FINISHED
Object Lille-Europe station E110198 NE FINISHED

How this triple was built (3 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Lille-Europe station | Statement: [LGV Nord, nearTerminus, Lille-Europe station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lille-Europe station
Context triple: [LGV Nord, nearTerminus, Lille-Europe station]
  • A. Lille-Europe station chosen
    Lille-Europe station is a major high-speed railway hub in Lille, France, serving international Eurostar and TGV services connecting the city with destinations across France, the UK, Belgium, and beyond.
  • B. Lille-Flandres station
    Lille-Flandres station is the main central railway station in Lille, France, serving regional and national train services.
  • C. Reims station
    Reims station is the main railway station serving the city of Reims in northeastern France, providing regional and high-speed train connections.
  • D. Brussels-Luxembourg railway station
    Brussels-Luxembourg railway station is a central Brussels train station located in the European Quarter, serving as a key transport hub for the nearby European Parliament and surrounding institutions.
  • E. Ségur station
    Ségur station is a Paris Métro station in the 15th arrondissement, named after Place Ségur and serving local residential and administrative areas.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: nearTerminus
Context triple: [LGV Nord, nearTerminus, Lille-Europe station]
  • A. near chosen
    Indicates that one entity is located at a short distance from another entity in space or position.
  • B. nearPass
    Indicates that one entity moves or travels close to another entity without necessarily making direct contact or interaction.
  • C. nearestPass
    Indicates that one entity is the closest in distance or proximity to another entity compared to all other possible entities or paths.
  • D. terminus
    Indicates that one entity serves as the final endpoint or stopping place for another entity’s movement, route, or process.
  • E. formerTerminusFor
    Indicates that a location once served as the endpoint or final stop of a route, line, or service, but no longer holds that status.
  • F. None of above.

Provenance (4 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69aed94118148190975e6aa4e554cde9 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefa8579288190940487ad07e38de0 completed March 9, 2026, 4:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5562139b481909faba39f4f36cd26 completed March 14, 2026, 12:35 p.m.
PD Predicate disambiguation batch_69aef8f89f2881909b0965419d15d46c completed March 9, 2026, 4:44 p.m.
Created at: March 9, 2026, 3:34 p.m.